使用我们的官方SDK快速集成DataFlare平台功能
使用我们的SDK，您可以轻松地：
我们的SDK遵循一致的API设计，无论您选择哪种编程语言，都能获得相似的开发体验。
npm install @dataflare/sdk --save
# 或使用 yarn
yarn add @dataflare/sdkimport { DataflareClient } from '@dataflare/sdk';
// 初始化客户端
const client = new DataflareClient({
apiKey: 'YOUR_API_KEY',
endpoint: 'https://api.dataflare.io'
});
// 创建数据流水线
async function createPipeline() {
try {
const pipeline = await client.pipelines.create({
name: 'my-first-pipeline',
description: '我的第一个数据流水线',
source: {
type: 'kafka',
config: {
brokers: ['kafka:9092'],
topic: 'input-data'
}
},
processors: [
{
type: 'smartmodule',
id: 'filter-module',
config: {
field: 'amount',
threshold: 100
}
}
],
sink: {
type: 'elasticsearch',
config: {
hosts: ['http://elasticsearch:9200'],
index: 'processed-data'
}
}
});
console.log('流水线创建成功:', pipeline.id);
return pipeline;
} catch (error) {
console.error('创建流水线失败:', error);
throw error;
}
}
// 启动流水线
async function startPipeline(pipelineId) {
try {
await client.pipelines.start(pipelineId);
console.log('流水线已启动');
} catch (error) {
console.error('启动流水线失败:', error);
throw error;
}
}import { DataflareClient } from '@dataflare/sdk';
// 初始化客户端
const client = new DataflareClient({
apiKey: 'YOUR_API_KEY',
endpoint: 'https://api.dataflare.io'
});
// 创建自定义 SmartModule
async function deploySmartModule() {
try {
const module = await client.smartmodules.deploy({
name: 'custom-transformer',
description: '自定义数据转换模块',
version: '1.0.0',
// 上传编译好的 WebAssembly 模块
wasmFile: './path/to/module.wasm',
// 模块配置模式
configSchema: {
type: 'object',
properties: {
fieldMapping: {
type: 'object',
additionalProperties: { type: 'string' }
},
defaultValues: {
type: 'object',
additionalProperties: true
}
}
}
});
console.log('SmartModule 部署成功:', module.id);
return module;
} catch (error) {
console.error('部署 SmartModule 失败:', error);
throw error;
}
}
// 监控流水线指标
async function monitorPipeline(pipelineId) {
try {
// 获取实时指标
const metrics = await client.pipelines.getMetrics(pipelineId, {
interval: '1m',
duration: '1h'
});
console.log('处理速率:', metrics.processingRate, '记录/秒');
console.log('延迟:', metrics.latency, 'ms');
console.log('错误率:', metrics.errorRate, '%');
// 设置告警
await client.alerts.create({
name: 'high-latency-alert',
pipelineId,
condition: {
metric: 'latency',
operator: '>',
threshold: 1000, // 1秒
duration: '5m'
},
actions: [
{
type: 'email',
recipients: ['alerts@example.com']
}
]
});
console.log('告警设置成功');
} catch (error) {
console.error('监控操作失败:', error);
throw error;
}
}